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1 Ergebnisse
1
SHARK: A Lightweight Model Compression Approach for Large-s..:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Zhang, Beichuan
;
Sun, Chenggen
;
Tan, Jianchao
... - p. 4930-4937 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3615499
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615499&Exemplar=1&LAN=DE A1 Zhang, Beichuan A1 Sun, Chenggen A1 Tan, Jianchao A1 Cai, Xinjun A1 Zhao, Jun A1 Miao, Mengqi A1 Yin, Kang A1 Song, Chengru A1 Mou, Na A1 Song, Yang PB ACM YR 2023 K1 feature selection K1 low precision K1 recommendation systemd K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Feature selection K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Learning to rank SP 4930 OP 4937 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615499 DO https://dl.acm.org/doi/10.1145/3583780.3615499 SF ELIB - SuUB Bremen
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